Evidence map›Paper›PMID 36323705›Full record

ArticleScientific reports2022

Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics.

Hanna J Koster, Antonio Guillen-Perez, Juan Sebastian Gomez-Diaz, Maria Navas-Moreno, Andrew C Birkeland, Randy P Carney

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hanna J KosterBiomedical Engineering, University of California, Davis, CA, USA.
Antonio Guillen-PerezElectrical and Computer Engineering, University of California, Davis, CA, USA.
Juan Sebastian Gomez-DiazElectrical and Computer Engineering, University of California, Davis, CA, USA.
Maria Navas-MorenoillumifyDx, Inc., Broomfield, CO, USA.
Andrew C BirkelandDepartment of Otolaryngology, University of California, CA, Davis, USA.
Randy P CarneyBiomedical Engineering, University of California, Davis, CA, USA. rcarney@ucdavis.com.
University of California, Davis · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
UC Davis Paul Calabresi K12 Clinical Oncology Research Career Development ProgramK12CA138464 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, LARA, PRIMO N. · 2011 to 2025
$11.4M
SERS diagnostics platform for liquid bioapsy analysis of tumor-associated exosomesR01CA241666 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARNEY, RANDY · 2020 to 2024
$2.5M
American Cancer Society RSG-19-116-01-CDDNCI NIH HHS K12 CA138464NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA241666NIH HHS 5K12CA138464-10
6 · The paper itself

Abstract

As a rapid, label-free, non-destructive analytical measurement requiring little to no sample preparation, Raman spectroscopy shows great promise for liquid biopsy cancer detection and diagnosis. We carried out Raman analysis and mass spectrometry of plasma and saliva from more than 50 subjects in a cohort of head and neck cancer patients and benign controls (e.g., patients with benign oral masses). Unsupervised data models were built to assess diagnostic performance. Raman spectra collected from either biofluid provided moderate performance to discriminate cancer samples. However, by fusing together the Raman spectra of plasma and saliva for each patient, subsequent analytical models delivered an impressive sensitivity, specificity, and accuracy of 96.3%, 85.7%, and 91.7%, respectively. We further confirmed that the metabolites driving the differences in Raman spectra for our models are among the same ones that drive mass spectrometry models, unifying the two techniques and validating the underlying ability of Raman to assess metabolite composition. This study bolsters the relevance of Raman to provide additive value by probing the unique chemical compositions across biofluid sources. Ultimately, we show that a simple data augmentation routine of fusing plasma and saliva spectra provided significantly higher clinical value than either biofluid alone, pushing forward the potential of clinical translation of Raman spectroscopy for liquid biopsy cancer diagnostics.

Indexed as

Head and Neck NeoplasmsSpectrum Analysis, RamanHumansSalivaSpecimen Handling

Identifiers

PMID36323705
PMCPMC9630497
OpenAlexW4307920166

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.